{"id":571,"date":"2026-02-08T19:24:29","date_gmt":"2026-02-08T19:24:29","guid":{"rendered":"https:\/\/shec.ac.in\/newsite\/?page_id=571"},"modified":"2026-02-08T19:33:28","modified_gmt":"2026-02-08T19:33:28","slug":"cse-ai-department","status":"publish","type":"page","link":"https:\/\/shec.ac.in\/newsite\/cse-ai-department\/","title":{"rendered":"Department of Computer Science and Engineering (Artificial Intelligence) (CSE-AI)"},"content":{"rendered":"

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\n Vision & Mission<\/a>
\n PO’s<\/a>
\n PEO’s<\/a>
\n PSO’s<\/a>
\n Faculty List<\/a>
\n Syllabus<\/a>
\n Exam Notification<\/a>
\n Previous Question Papers<\/a>\n <\/div>\n<\/p><\/div>\n

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Department of Computer Science and Engineering (Artificial Intelligence): Intelligence for Tomorrow<\/span><\/h2>\n

At Sri Harshini College of Engineering and Technology for Women, our CSE (Artificial Intelligence) department is dedicated to empowering women technologists with deep expertise in AI, machine learning, and intelligent systems. We combine strong foundations in computer science with specialized training in algorithms, data science, and applied AI, preparing students to lead innovation in one of the most transformative fields of the 21st century.<\/p>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n

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Why Choose CSE-AI at Sri Harshini?<\/h3>\n

Our CSE-AI program offers a focused curriculum that blends core computer science with advanced topics in artificial intelligence, machine learning, deep learning, natural language processing, and computer vision. Students work in labs equipped with GPUs and modern AI frameworks, gaining hands-on experience in building intelligent applications and solving real-world problems with data-driven solutions.<\/p>\n

We emphasize project-based learning through industry-sponsored projects, hackathons, and research initiatives in collaboration with our AI research center. Students develop portfolios in areas such as predictive analytics, intelligent automation, and ethical AI design. Strong ties with tech companies and startups provide internships and placement opportunities in AI engineering, data science, and research roles.<\/p>\n

With a commitment to women’s leadership in AI, we nurture not only technical depth but also critical thinking, ethical AI practices, and communication skills. Our graduates are prepared to excel as AI engineers, ML specialists, and innovators in sectors ranging from healthcare and finance to smart systems and beyond.<\/p>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n

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Vision & Mission<\/h3>\n
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VISION<\/h4>\n

To develop the Department of CSE \u2013 Artificial Intelligence as a center of excellence that empowers women graduates with strong foundations in artificial intelligence, ethical values, innovative thinking, and lifelong learning skills to build intelligent solutions for industry, research, and societal needs.<\/p>\n

MISSION<\/h4>\n
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  • To provide strong theoretical knowledge and practical skills in Artificial Intelligence and core computer science through quality teaching and modern learning resources.<\/li>\n
  • To promote innovation, problem solving, and continuous learning by involving students in projects, research activities, and emerging AI technologies.<\/li>\n
  • To prepare women students for successful careers and higher studies by nurturing professional competence, ethical values, and social responsibility.<\/li>\n<\/ul><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/section>\n

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    PO’s (Program Outcomes)<\/h3>\n
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    • PO1 \u2014 Engineering Knowledge:<\/strong> Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.<\/li>\n
    • PO2 \u2014 Problem Analysis:<\/strong> Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using principles of mathematics, natural sciences, and engineering sciences.<\/li>\n
    • PO3 \u2014 Design\/Development of Solutions:<\/strong> Design solutions for complex engineering problems and design system components or processes to meet specified needs considering public health, safety, cultural, societal, and environmental aspects.<\/li>\n
    • PO4 \u2014 Conduct Investigations of Complex Problems:<\/strong> Use research-based knowledge and research methods including design of experiments, analysis, and interpretation of data to provide valid conclusions.<\/li>\n
    • PO5 \u2014 Modern Tool Usage:<\/strong> Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools to complex engineering activities, with an understanding of their limitations.<\/li>\n
    • PO6 \u2014 The Engineer and Society:<\/strong> Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal, and cultural issues relevant to professional engineering practice.<\/li>\n
    • PO7 \u2014 Environment and Sustainability:<\/strong> Understand the impact of professional engineering solutions in societal and environmental contexts and demonstrate knowledge of and need for sustainable development.<\/li>\n
    • PO8 \u2014 Ethics:<\/strong> Apply ethical principles and commit to professional ethics and responsibilities and norms of engineering practice.<\/li>\n
    • PO9 \u2014 Individual and Team Work:<\/strong> Function effectively as an individual, and as a member or leader in diverse teams and in multidisciplinary settings.<\/li>\n
    • PO10 \u2014 Communication:<\/strong> Communicate effectively on complex engineering activities with the engineering community and society at large, including writing reports, design documentation, making presentations, and giving\/receiving clear instructions.<\/li>\n
    • PO11 \u2014 Project Management and Finance:<\/strong> Demonstrate knowledge and understanding of engineering and management principles and apply these to one’s work as a member and leader in a team to manage projects and in multidisciplinary environments.<\/li>\n
    • PO12 \u2014 Life-long Learning:<\/strong> Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.<\/li>\n<\/ul><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/section>\n

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      PEO’s (Program Educational Objectives)<\/h3>\n
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      • PEO1:<\/strong> Graduates will apply principles of Artificial Intelligence and computer science to analyze, design, and develop intelligent systems for real-world applications.<\/li>\n
      • PEO2:<\/strong> Graduates will pursue successful careers in industry, higher education, research, or entrepreneurship by continuously enhancing their technical and analytical abilities.<\/li>\n
      • PEO3:<\/strong> Graduates will demonstrate ethical conduct, teamwork, leadership qualities, and social responsibility while contributing to technological and societal development.<\/li>\n<\/ul><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/section>\n

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        PSO’s (Program Specific Outcomes)<\/h3>\n
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        • PSO1:<\/strong> Ability to design, implement, and evaluate intelligent systems using AI algorithms, programming tools, and modern computing platforms.<\/li>\n
        • PSO2:<\/strong> Ability to apply artificial intelligence techniques such as knowledge representation, machine learning, natural language processing, and computer vision to solve industry-oriented and societal problems.<\/li>\n<\/ul><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/section>\n

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          Faculty List<\/h3>\n
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          Name of the Faculty<\/th>\nDesignation<\/th>\n<\/tr>\n<\/thead>\n
          Dr. K Chinnaiah<\/td>\nProfessor<\/td>\n<\/tr>\n
          K Gopala Krishna Murthy<\/td>\nAssociate Professor<\/td>\n<\/tr>\n
          Tumati Ramapitchaiah<\/td>\nAssistant Professor<\/td>\n<\/tr>\n
          Daka Kalyani<\/td>\nAssistant Professor<\/td>\n<\/tr>\n
          K Rahul Prasad<\/td>\nAssistant Professor<\/td>\n<\/tr>\n
          T Anusha<\/td>\nAssociate Professor<\/td>\n<\/tr>\n<\/tbody>\n<\/table><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/section>\n

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          Syllabus<\/h3>\n
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          We are updating the content. Please come back here and visit for updated content.<\/p>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/section>\n

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          Exam Notification<\/h3>\n
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          We are updating the content. Please come back here and visit for updated content.<\/p>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/section>\n

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          Previous Question Papers<\/h3>\n
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          We are updating the content. Please come back here and visit for updated content.<\/p>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/section>\n","protected":false},"excerpt":{"rendered":"

          Vision & Mission PO’s PEO’s PSO’s Faculty List Syllabus Exam Notification Previous Question Papers Department of Computer Science and Engineering…<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-571","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/shec.ac.in\/newsite\/wp-json\/wp\/v2\/pages\/571","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/shec.ac.in\/newsite\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/shec.ac.in\/newsite\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/shec.ac.in\/newsite\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/shec.ac.in\/newsite\/wp-json\/wp\/v2\/comments?post=571"}],"version-history":[{"count":2,"href":"https:\/\/shec.ac.in\/newsite\/wp-json\/wp\/v2\/pages\/571\/revisions"}],"predecessor-version":[{"id":577,"href":"https:\/\/shec.ac.in\/newsite\/wp-json\/wp\/v2\/pages\/571\/revisions\/577"}],"wp:attachment":[{"href":"https:\/\/shec.ac.in\/newsite\/wp-json\/wp\/v2\/media?parent=571"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}